AIMC Topic: Terminology as Topic

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What is Machine Learning? A Primer for the Epidemiologist.

American journal of epidemiology Dec 31, 2019
Machine learning is a branch of computer science that has the potential to transform epidemiologic sciences. Amid a growing focus on "Big Data," it offers epidemiologists new tools to tackle problems for which classical methods are not well-suited. I...
Epidemiology Epidemiologic Studies Terminology as Topic Machine Learning
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Neural machine translation of clinical texts between long distance languages.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
OBJECTIVE: To analyze techniques for machine translation of electronic health records (EHRs) between long distance languages, using Basque and Spanish as a reference. We studied distinct configurations of neural machine translation systems and used d...
Humans Terminology as Topic Spain Natural Language Processing Translating Systematized Nomenclature of Medicine Neural Networks, Computer Electronic Health Records
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Radiomics - Using Artificial Intelligence in the Quest towards Personalised Radiation Treatment.

Journal of the College of Physicians and Surgeons--Pakistan : JCPSP Feb 1, 2019
Humans Precision Medicine Terminology as Topic Radiography, Interventional Artificial Intelligence Forecasting
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Automatic Normalization of Anatomical Phrases in Radiology Reports Using Unsupervised Learning.

Journal of digital imaging Feb 1, 2019
In today's radiology workflow, free-text reporting is established as the most common medium to capture, store, and communicate clinical information. Radiologists routinely refer to prior radiology reports of a patient to recall critical information f...
Workflow Unsupervised Machine Learning Humans Terminology as Topic Radiology Electronic Health Records
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Opening the Black Box: Understanding the Science Behind Big Data and Predictive Analytics.

Anesthesia and analgesia Nov 1, 2018
Big data, smart data, predictive analytics, and other similar terms are ubiquitous in the lay and scientific literature. However, despite the frequency of usage, these terms are often poorly understood, and evidence of their disruption to clinical ca...
Terminology as Topic Data Mining Medical Informatics Humans Artificial Intelligence Electronic Health Records Big Data Databases, Factual
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Using drug knowledgebase information to distinguish between look-alike-sound-alike drugs.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2018
OBJECTIVE: To extract drug indications from a commercial drug knowledgebase and determine to what extent drug indications can discriminate between look-alike-sound-alike (LASA) drugs.
Humans Pharmaceutical Preparations Drug Prescriptions Medication Errors Knowledge Bases Terminology as Topic
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An attention-based BiLSTM-CRF approach to document-level chemical named entity recognition.

Bioinformatics (Oxford, England) Apr 15, 2018
MOTIVATION: In biomedical research, chemical is an important class of entities, and chemical named entity recognition (NER) is an important task in the field of biomedical information extraction. However, most popular chemical NER methods are based o...
Data Mining Terminology as Topic Chemistry Neural Networks, Computer Biomedical Research
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Opportunities and obstacles for deep learning in biology and medicine.

Journal of the Royal Society, Interface Apr 1, 2018
Deep learning describes a class of machine learning algorithms that are capable of combining raw inputs into layers of intermediate features. These algorithms have recently shown impressive results across a variety of domains. Biology and medicine ar...
Biomedical Research Drug Design Decision Making Terminology as Topic Deep Learning Delivery of Health Care Electronic Health Records Humans Algorithms Biomedical Technology Disease
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Big-Data Analysis, Cluster Analysis, and Machine-Learning Approaches.

Advances in experimental medicine and biology Jan 1, 2018
Medicine will experience many changes in the coming years because the so-called "medicine of the future" will be increasingly proactive, featuring four basic elements: predictive, personalized, preventive, and participatory. Drivers for these changes...
Terminology as Topic Cardiology Big Data Cluster Analysis Heart Failure Data Mining Databases, Factual Prognosis Humans Machine Learning
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Supporting Prescriptions with Synonym Matching of Section Names in Prospectuses.

Studies in health technology and informatics Jan 1, 2018
The field of medicine still reports errors because of insufficient knowledge or resources, work load or data not available at the right time and place, and this may be fatal for a patient. To improve the healthcare quality, a doctor needs accurate an...
Humans Machine Learning Terminology as Topic Electronic Data Processing Prescriptions Software Semantics
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